J. Aimone

Most-cited papers

Neuromorphic computing at scale
D. Kudithipudi, Catherine D. Schuman, C. Vineyard, Tej Pandit +19 more
2025Nature412 citations
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Neurogenesis deep learning: Extending deep networks to accommodate new classes
T. Draelos, N. Miner, Christopher C. Lamb, Jonathan A. Cox +5 more
2016IEEE International Joint Conference on Neural Network106 citations Open access
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Intermittent fasting enhances long-term memory consolidation, adult hippocampal neurogenesis, and expression of longevity gene Klotho
G. Dias, T. Murphy, D. Stangl, S. Ahmet +7 more
2021Molecular Psychiatry104 citations Open access
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A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications
Conrad D. James, J. Aimone, N. Miner, C. Vineyard +8 more
2017Biologically Inspired Cognitive Architectures104 citations Open access
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Training deep neural networks for binary communication with the Whetstone method
William M. Severa, C. Vineyard, Ryan Dellana, Stephen J Verzi +1 more
2018Nature Machine Intelligence102 citations Open access
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Energy Scaling Advantages of Resistive Memory Crossbar Based Computation and Its Application to Sparse Coding
S. Agarwal, T. Quach, Ojas Parekh, Alexander H. Hsia +4 more
2016Frontiers in Neuroscience99 citations Open access
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A review of non-cognitive applications for neuromorphic computing
J. Aimone, Prasanna Date, Gabriel Andres Fonseca Guerra, Kathleen E. Hamilton +10 more
2022Neuromorph. Comput. Eng.66 citations Open access
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Neuromorphic scaling advantages for energy-efficient random walk computations
J. Smith, A. Hill, Leah Reeder, B. Franke +4 more
2020Nature Electronics51 citations Open access
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Composing neural algorithms with Fugu
J. Aimone, William M. Severa, C. Vineyard
2019International Conference on Systems43 citations Open access
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Dopaminergic inputs in the dentate gyrus direct the choice of memory encoding
H. Du, Wei Deng, J. Aimone, Minyan Ge +8 more
2016Proceedings of the National Academy of Sciences of the United States of America41 citations Open access
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Sparse Coding for N-Gram Feature Extraction and Training for File Fragment Classification
Felix Wang, T. Quach, J. Wheeler, J. Aimone +1 more
2018IEEE Transactions on Information Forensics and Security39 citations Open access
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Neural algorithms and computing beyond Moore's law
J. Aimone
2019Communications of the ACM38 citations Open access
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Spiking network algorithms for scientific computing
William M. Severa, Ojas Parekh, Kristofor D. Carlson, Conrad D. James +1 more
2016International Conference on Rebooting Computing33 citations Open access
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Solving a steady-state PDE using spiking networks and neuromorphic hardware
J. Smith, William M. Severa, A. J. Hill, Leah Reeder +4 more
2020International Conference on Systems32 citations Open access
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Computing with Spikes: The Advantage of Fine-Grained Timing
Stephen J Verzi, Fredrick Rothganger, Ojas Parekh, T. Quach +4 more
2018Neural Computation31 citations
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Design principles for lifelong learning AI accelerators
D. Kudithipudi, A. Daram, Abdullah M. Zyarah, F. Zohora +8 more
2023Nature Electronics29 citations
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Random Bitstream Generation Using Voltage-Controlled Magnetic Anisotropy and Spin Orbit Torque Magnetic Tunnel Junctions
Samuel Liu, J. Kwon, Paul W. Bessler, S. Cardwell +5 more
2022IEEE Journal on Exploratory Solid-State Computational Devices and Circuits29 citations Open access
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Provable Advantages for Graph Algorithms in Spiking Neural Networks
J. Aimone, Y. Ho, Ojas Parekh, C. Phillips +3 more
2021ACM Symposium on Parallelism in Algorithms and Architectures27 citations Open access
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Computational Modeling of Adult Neurogenesis.
J. Aimone
2016Cold Spring Harbor Perspectives in Biology27 citations Open access
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Spiking Neural Algorithms for Markov Process Random Walk
William M. Severa, R. Lehoucq, Ojas Parekh, J. Aimone
2018IEEE International Joint Conference on Neural Network26 citations Open access
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Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication
Ojas Parekh, C. Phillips, Conrad D. James, J. Aimone
2018ACM Symposium on Parallelism in Algorithms and Architectures24 citations Open access
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A Roadmap for Reaching the Potential of Brain‐Derived Computing
J. Aimone
2020Advanced Intelligent Systems22 citations Open access
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Dynamic Programming with Spiking Neural Computing
J. Aimone, Ojas Parekh, C. Phillips, A. Pınar +2 more
2019International Conference on Systems22 citations Open access
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The brain’s unique take on algorithms
J. Aimone, Ojas Parekh
2023Nature Communications19 citations Open access
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A Combinatorial Model for Dentate Gyrus Sparse Coding
William M. Severa, Ojas Parekh, Conrad D. James, J. Aimone
2017Neural Computation18 citations Open access
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Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence
Frances S. Chance, J. Aimone, S. Musuvathy, Michael R. Smith +2 more
2020Frontiers in Computational Neuroscience17 citations Open access
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Solving sparse finite element problems on neuromorphic hardware
Bradley H. Theilman, J. Aimone
2025Nature Machine Intelligence16 citations Open access
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Provable Neuromorphic Advantages for Computing Shortest Paths
J. Aimone, Y. Ho, Ojas Parekh, C. Phillips +3 more
2020ACM Symposium on Parallelism in Algorithms and Architectures15 citations
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Dynamic Analysis of Executables to Detect and Characterize Malware
Michael R. Smith, J. Ingram, Christopher C. Lamb, T. Draelos +3 more
2017International Conference on Machine Learning and Applications15 citations Open access
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Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC
S. Cardwell, C. Vineyard, William M. Severa, Frances S. Chance +5 more
2020IEEE International Conference on Systems, Man and Cybernetics14 citations
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Scaling neural simulations in STACS
Felix Wang, Shruti Kulkarni, Bradley H. Theilman, Fredrick Rothganger +3 more
2024Neuromorph. Comput. Eng.12 citations Open access
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Magnetic tunnel junction random number generators applied to dynamically tuned probability trees driven by spin orbit torque
A. Maicke, Jared D. Arzate, Samuel Liu, Jaesuk Kwon +6 more
2023Nanotechnology12 citations Open access
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Spiking Neural Streaming Binary Arithmetic
J. Aimone, A. Hill, William M. Severa, C. Vineyard
2021International Conference on Rebooting Computing12 citations Open access
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International Neuroscience Initiatives through the Lens of High-Performance Computing
K. Bouchard, J. Aimone, Miyoung Chun, Thomas L. Dean +10 more
2018Computer12 citations Open access
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Optimization-based computation with spiking neurons
Stephen J Verzi, C. Vineyard, E. Vugrin, Meghan A. Galiardi +2 more
2017IEEE International Joint Conference on Neural Network11 citations Open access
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Neural computing for scientific computing applications: more than just machine learning
J. Aimone, Ojas Parekh, William M. Severa
2017Neuromorphic Computing Symposium11 citations Open access
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Spiking Physics-Informed Neural Networks on Loihi 2
Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr +3 more
2024Neuro Inspired Computational Elements Workshop10 citations
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Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform
C. Vineyard, Ryan Dellana, J. Aimone, Fred Rothganger +1 more
2019Neuro Inspired Computational Elements Workshop10 citations Open access
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Goemans-Williamson MAXCUT approximation algorithm on Loihi
Bradley H. Theilman, J. Aimone
2023Neuro Inspired Computational Elements Workshop8 citations Open access
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A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines
Michael R. Smith, A. J. Hill, Kristofor D. Carlson, C. Vineyard +6 more
2017IEEE International Joint Conference on Neural Network8 citations Open access
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Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling
J. Aimone
2025arXiv.org7 citations
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Neuromorphic Simulation of Drosophila Melanogaster Brain Connectome on Loihi 2
Felix Wang, Bradley H. Theilman, Fred Rothganger, William M. Severa +2 more
2025arXiv.org7 citations
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Overcoming the noise in neural computing
J. Aimone, S. Agarwal
2024Science7 citations
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Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute
J. Aimone, O. Awile, M. Diesmann, J. Knight +2 more
2023Frontiers in Neuroinformatics7 citations Open access
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Stochastic Neuromorphic Circuits for Solving MAXCUT
Bradley H. Theilman, Yipu Wang, Ojas Parekh, William M. Severa +2 more
2022IEEE International Parallel and Distributed Processing Symposium7 citations
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Neural Mini-Apps as a Tool for Neuromorphic Computing Insight
C. Vineyard, S. Cardwell, Frances S. Chance, S. Musuvathy +6 more
2022Neuro Inspired Computational Elements Workshop7 citations Open access
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Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis
C. Vineyard, Stephen J Verzi, Conrad D. James, J. Aimone
2016IEEE International Joint Conference on Neural Network7 citations Open access
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A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines
Michael R. Smith, A. Hill, Kristofor D. Carlson, C. Vineyard +6 more
2017arXiv.org6 citations
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A Spike-Timing Neuromorphic Architecture
A. Hill, Jonathon W. Donaldson, Fredrick Rothganger, C. Vineyard +9 more
2017International Conference on Rebooting Computing6 citations Open access
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Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation
S. Cardwell, Catherine D. Schuman, J. Smith, Karan Patel +6 more
2022International Conference on Rebooting Computing5 citations Open access
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